Data Engineer Legacy III

Key Purpose

• To contribute to the design and development of new applications / systems to meet the business requirements of the Data and Analytics (D&A) environment.
• To analyse business or system requirements and data to enhance understanding of the D&A environment.
• To participate in and provide input to the Architect during the compilation of solution design documentation for new and existing D&A products and systems.

Detailed Knowledge

• IT systems development processes (SDLC)
• Application development
• ETL processes
• Rational database system and cloud data warehousing
• Dimensional modelling
• Standards and governance
• Agile development life cycle
• Testing practices

Knowledge Of

• Data analysis and design
• Data architecture (technical design and implementation processes)
• Banking systems environment
• Banking business model
• Best practices for Quality Assurance (QA)

Minimum Requirements

• A relevant tertiary qualification in Information Technology or Data Analysis
• A relevant tertiary qualification in Information Technology - Computer Science or Data Analysis
• At least 6 years proven experience within management information systems / systems analysis together with a relevant 3 year tertiary qualification
• At least 6 - 8 years proven experience within management information systems / system analysis
• Proven experience in:
  • SQL Server and / or business intelligence tools (SSIS, SSRS, SSAS)
  • Data Warehousing
  • Data Management Lifecycle
  • Python and/or Open Source development tools
  • Visualisation Technologies: MS PowerBI, AWS QuickSight
  • Cloud Environment
• Experience working in an AWS environment as well as with AWS Technologies
• Participation in PBT Graduate Programme / Training / Skills Development, PBT Academy, e.g. Data Engineering, BI Business Analysis, Data Modelling

Skills

• Analytical Skills
• Communications Skills
• Computer Literacy (MS Word, MS Excel, MS Outlook)
• Interpersonal & Relationship management Skills
• Problem solving skill